Triple

T19923160
Position Surface form Disambiguated ID Type / Status
Subject Niagara Falls, Ontario E478850 entity
Predicate hasAttraction P105 FINISHED
Object Queen Victoria Park NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Queen Victoria Park | Statement: [Niagara Falls, Ontario, hasAttraction, Queen Victoria Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Victoria Park
Context triple: [Niagara Falls, Ontario, hasAttraction, Queen Victoria Park]
  • A. Queen Victoria Park chosen
    Queen Victoria Park is a scenic public park in Niagara Falls, Canada, known for its landscaped gardens, walking paths, and panoramic views of the waterfalls.
  • B. Royal Victoria Park
    Royal Victoria Park is a historic public park in Bath, England, known for its expansive lawns, botanical gardens, and views of the Georgian Royal Crescent.
  • C. Queen Elizabeth Park
    Queen Elizabeth Park is a prominent public green space in Concord known for its recreational facilities and community gatherings.
  • D. Victoria Park
    Victoria Park is a public recreational park in Ilkeston, Derbyshire, offering green space, sports facilities, and leisure amenities for local residents and visitors.
  • E. Victoria Park
    Victoria Park is a suburban railway station in Melbourne, Australia, serving the inner-city area of Abbotsford on the metropolitan train network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c7be948190a65a1c78ba68dff3 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.